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Trusted Business Advisors, Expert Technology Analysts

Research Areas

Infrastructure Management

Includes Security, SRM, Cloud, ICM, SaaS, Business Intelligence, Data Warehouse, Database Appliances, NFM, Storage Management.

This section covers all forms of technologies that impact IT infrastructure management. Taneja Group analysts particularly focus on the interplay between server virtualization and storage, with and without virtualization, and study the impact on performance, security and management of the IT infrastructure. This section also includes all aspects of storage management (SRM, SMI-S) and the role of cross correlation engines on overall performance of an application. Storage virtualization technologies (In-band, Out-of-band, split path architectures or SPAID) are all covered in detail. Data Security, whether for data in-flight or at-rest and enterprise level key management issues are covered along with all the players that make up the ecosystems.

As databases continue to grow larger and more complex they present issues in terms of security, performance and management. Taneja Group analysts cover the vendors and the technologies that harness the power of archiving to reduce the size of active databases. We also cover specialized database appliances that have become the vogue lately. All data protection issues surrounding databases are also covered in detail. We write extensively on this topic for the benefit of the IT user.

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Report

Scale Computing Field Report

Virtualization is mature and widely adopted in the enterprise market, and convergence/hyperconvergence with virtualization is taking the market by storm. But what about mid-sized and SMB? Are they falling behind?

Many of them are. Generalist IT, low virtualization budgets, and small staff sizes all militate against complex virtualization projects and high costs. What this means is that when mid-sized and SMB want to virtualize, they either get sticker shock from high prices and high complexity, or dissatisfaction with cheap, poorly scalable and unreliable solutions. What they want and need is hyperconvergence for ease in management, lower CapEx and OpEx; and a simplified but highly scalable and available virtualization platform.

This is a tall order but not an impossible one: Scale Computing claims to meet these requirements for this large market segment, and Taneja Group’s HC3 Validation Report supports those claims. However, although lab results are vital to knowing the real story they are only part of that story. We also wanted to hear directly from IT about Scale in the real world of the mid-sized and SMB data center.

We undertook a Field Report project where we spoke at length with eight Scale customers. This report details our findings around the top common points we found throughout eight different environments: exceptional simplicity, excellent support, clear value, painless scalability, and high availability – all at a low price. These key features make a hyperconverged platform a reality for SMB and mid-market virtualization customers. 

Publish date: 01/05/15
Free Reports

Free Report: Galileo’s Cross-Domain Insight Served via Cloud

Every large IT shop has a long shelf of performance management solutions ranging from big platform bundles bought from legacy vendors, through general purpose log aggregators and event consoles, to a host of device-specific element managers. Despite the invested costs of acquiring, installing, supporting, and learning these often complex tools, only a few of them are in active daily use. Most are used only reactively and many just gather dust for a number of reasons. But, if only because of the ongoing costs of keeping management tools current, it’s only the solutions that get used that are worth having.

When it comes to picking which tool to use day-to-day, it’s not the theory of what it could do, it’s the actual value of what it does for the busy admin trying to focus on the tasks at-hand. And among the myriad of things an admin is responsible for, assuring performance requires the most management solution support. Performance related tasks include checking on the health of resources that the admin is responsible for, improving utilization, finding lurking or trending issues to attend to in order to head off disastrous problems later, working with other IT folks to diagnose and isolate service impacting issues, planning new activities, and communicating relevant insight to others – in IT, the broader business, and even to external stakeholders.

Admins responsible for infrastructure, when faced with these tasks, have huge challenges in large, heterogeneous, complex environments. While vendor-specific device and element managers drill into each piece of equipment, they help mostly with easily identifiable component failure. Both daily operational status and difficult infrastructure challenges involve looking across so-called IT domains (i.e. servers and storage) for thorny performance impacting trends or problems. The issue with larger platform tools is that they require a significant amount of installation, training, ongoing tool support, and data management that all detract from the time an admin can actually spend on primary responsibilities.

There is room for a new style of system management that is agile, insightful and empowering, and we think Galileo presents just such a compelling new approach. In this report we’ll explore some of the IT admin’s common performance challenges and then examine how Galileo Performance Explorer with its cloud-hosted collection and analysis helps conquer them. We’ll look at how Performance Explorer crosses IT domains to increase insight, easily implements and scales, fosters communication, and focuses on and enables the infrastructure admin to achieve daily operational excellence. We’ll also present a couple of real customer interviews in which, despite sunk costs in other solutions, adding Galileo to the data center quickly improved IT utilization, capacity planning, and the service levels delivered back to the business.

Publish date: 01/01/15
Profile

What Admins Choose For Performance Management: Galileo’s Cross-Domain Insight Served via Cloud

Every large IT shop has a long shelf of performance management solutions ranging from big platform bundles bought from legacy vendors, through general purpose log aggregators and event consoles, to a host of device-specific element managers. Despite the invested costs of acquiring, installing, supporting, and learning these often complex tools, only a few of them are in active daily use. Most are used only reactively and many just gather dust for a number of reasons. But, if only because of the ongoing costs of keeping management tools current, it’s only the solutions that get used that are worth having.

When it comes to picking which tool to use day-to-day, it’s not the theory of what it could do, it’s the actual value of what it does for the busy admin trying to focus on the tasks at-hand. And among the myriad of things an admin is responsible for, assuring performance requires the most management solution support. Performance related tasks include checking on the health of resources that the admin is responsible for, improving utilization, finding lurking or trending issues to attend to in order to head off disastrous problems later, working with other IT folks to diagnose and isolate service impacting issues, planning new activities, and communicating relevant insight to others – in IT, the broader business, and even to external stakeholders.

Admins responsible for infrastructure, when faced with these tasks, have huge challenges in large, heterogeneous, complex environments. While vendor-specific device and element managers drill into each piece of equipment, they help mostly with easily identifiable component failure. Both daily operational status and difficult infrastructure challenges involve looking across so-called IT domains (i.e. servers and storage) for thorny performance impacting trends or problems. The issue with larger platform tools is that they require a significant amount of installation, training, ongoing tool support, and data management that all detract from the time an admin can actually spend on primary responsibilities.

There is room for a new style of system management that is agile, insightful and empowering, and we think Galileo presents just such a compelling new approach. In this report we’ll explore some of the IT admin’s common performance challenges and then examine how Galileo Performance Explorer with its cloud-hosted collection and analysis helps conquer them. We’ll look at how Performance Explorer crosses IT domains to increase insight, easily implements and scales, fosters communication, and focuses on and enables the infrastructure admin to achieve daily operational excellence. We’ll also present a couple of real customer interviews in which, despite sunk costs in other solutions, adding Galileo to the data center quickly improved IT utilization, capacity planning, and the service levels delivered back to the business.

Publish date: 10/29/14
Report

Field Report: Nutanix vs. VCE - Web-Scale Vs. Converged Infrastructure in the Real World

This Field Report was created by Taneja Group for Nutanix. The Taneja Group analyzed the experiences of seven Nutanix Virtual Computing Platform customers and seven Virtual Computing Environment (VCE) Vblock customers. We did not ‘cherry-pick’ customers for dissatisfaction, delight, or specific use case; we were interested in typical customers’ honest reactions.

As we talked in detail to these customers, we kept seeing the same patterns: 1) VCE users were interested in converged systems; and 2) they chose VCE because VCE partners Cisco, EMC, and/or VMware were embedded in their IT relationships and sales. The VCE process had the advantage of vendor familiarity, but it came at a price: high capital expense, infrastructure and management complexity, expensive support contracts, and concerns over the long-term viability of the VCE partnership. VCE customers typically did not research other options for converged infrastructure prior to deploying the VCE Vblock solution.

In contrast, Nutanix users researched several convergence and hyperconvergence vendors to determine the best possible fit. Nutanix’ advanced web-scale framework gave them simplified architecture and management, reasonable acquisition and operating costs, and considerably faster time to value.

Our conclusion, based on the amount of time and effort spent by the teams responsible for managing converged infrastructure, is that VCE Vblock deployments represent an improvement over traditional architectures, but Nutanix hyperconvergence – especially with its web-scale architecture – is an big improvement over VCE.

This Field Report will compare customer experiences with Nutanix hyperconverged, web-scale infrastructure to VCE Vblock in real-world environments.

Publish date: 10/16/14
Technology Validation

Scale Computing HC3 And VMware Virtual SAN Hyperconverged Solutions - Head to Head

Scale Computing was an early proponent of hyperconverged appliances and is one of the innovators in this marketplace. Since the release of Scale Computing’s first hyperconverged appliance, many others have come to embrace the elegance of having storage and compute functionality combined on a single server. Even the virtualization juggernaut VMware has seen the benefits of abstracting, pooling, and running storage and compute on shared commodity hardware. VMware’s current hyperconverged storage initiative, VMware Virtual SAN, seems to be gaining traction in the marketplace. We thought it would be an interesting exercise to compare and contrast Scale Computing’s hyperconverged appliance to a hyperconverged solution built around VMware Virtual SAN. Before we delve into this exercise, however, let’s go over a little background history on the topic.

Taneja Group defines hyperconvergence as the integration of multiple previously separate IT domains into one system in order to serve up an entire IT infrastructure from a single device or system. This means that hyperconverged systems contain all IT infrastructure—networking, compute and storage—while promising to preserve the adaptability of the best traditional IT approaches. Such capability implies an architecture built for seamless and easy scaling over time, in a "grow as needed” fashion.

Scale Computing got its start with scale-out storage appliances and has since morphed these into a hyperconverged appliance—HC3. HC3 was the natural evolution of its well-regarded line of scale-out storage appliances, which includes both a hypervisor and a virtual infrastructure manager. HC3’s strong suit is its ease of use and affordability. The product has seen tremendous growth and now has over 900 deployments.

VMware got its start with compute virtualization software and is by far the largest virtualization company in the world. VMware has always been a software company, and takes pride in its hardware agnosticism. VMware’s first attempt to combine shared direct-attached storage (DAS) storage and compute on the same server resulted in a product called “VMware vSphere Storage Appliance” (VSA), which was released in June of 2011. VSA had many limitations and didn’t seem to gain traction in the marketplace and reached its end of availability (EOA) in June of 2014. VMware’s second attempt, VMware Virtual SAN (VSAN), which was announced at VMworld in 2013, shows a lot of promise and seems to be gaining acceptance, with over 300 paying customers using the product. We will be comparing VMware Virtual SAN to Scale Computing’s hyperconverged appliance, HC3, in this paper.

Here we have two companies: Scale Computing, which has transformed from an early innovator in scale-out storage to a company that provides a hyperconverged appliance; and VMware, which was an early innovator in compute virtualization and since has transformed into a company that provides the software needed to create build-your-own hyperconverged systems. We looked deeply into both systems (HC3 and VSAN) and walked both through a series of exercises to see how they compare. We aimed this review at what we consider a sweet spot for these products: small to medium-sized enterprises with limited dedicated IT staff and a limited budget. After spending time with these two solutions, and probing various facets of them, we came up with some strong conclusions about their ability to provide an affordable, easy to use, scalable solution for this market.

The observations we have made for both products are based on hands-on testing both in our lab and on-site at Scale Computing’s facility in Indianapolis, Indiana. Although we talk about performance in general terms, we do not, and you should not, construe this to be a benchmarking test. We have, in good faith, verified all conclusions made around any timing issues. Moreover, the numbers that we are using are generalities that we believe are widely known and accepted in the virtualization community.

Publish date: 10/01/14
Technology Validation

Scale Computing HC3: A Second Look at a Hyperconverged Appliance

Consolidation and enhanced management enabled by virtualization has revolutionized the practice of IT around the world over the past few years. By abstracting compute from the underlying hardware systems, and enabling oversubscription of physical systems by virtual workloads, IT has been able to pack more systems into the data center than before. Moreover, for the first time in seemingly decades, IT has also taken a serious leap ahead in management, as this same virtual infrastructure has wrapped the virtualized workload with better capabilities than ever before - tools like increased visibility, fast provisioning, enhanced cloning, and better data protection. The net result has been a serious increase in overall IT efficiency.

But not all is love and roses with the virtual infrastructure. In the face of serious benefits and consequent rampant adoption, virtualization continues to advance and bring about more capability. All too often, an increase in capability has come at the cost of complexity. Virtualization now promises to do everything from serving up compute instances, to providing network infrastructure and network security, to enabling private clouds.

For certain, much of this complexity exists between the individual physical infrastructures that IT must touch, and the simultaneous duplication that virtualization often brings into the picture. Virtual and physical networks must now be integrated, the relationship between virtual and physical servers must be tracked, and the administrator can barely answer with certainty whether key storage functions, like snapshots, should be managed on physical storage systems or in the virtual infrastructure.

With challenges surrounding the complexity in managing a virtualized datacenter, Scale Computing, long a provider of scale-out storage, introduced a new line of hyperconverged appliances - HC3 in April, 2012 and updated the appliances with the new HyperCore software in May, 2014. HC3 is an integration of storage and virtualized compute within a scale-out building block architecture that couples all of the elements of a virtual data center together inside a hyperconverged appliance. The result is a system that is simple to use and does away with much of the complexity associated with virtualization in the data center. By virtualizing and intermingling compute and storage inside a system that is designed for scale-out, HC3 does away with the need to manage virtual networks, assemble complex compute clusters, provision and manage storage, and a bevy of other day to day administrative tasks. Provisioning additional resources - any resource - becomes one-click-easy, and adding more physical resources as the business grows is reduced to a simple 2-minute exercise.

While this sounds compelling on the surface, Taneja Group recently turned our Technology Validation service - our hands-on lab service - to the task of evaluating whether Scale Computing's HC3 could deliver on these promises in the real world. For this task, we put an HC3 cluster through the paces to see how well it deployed, how it held up under use, and what special features it delivered that might go beyond the features found in traditional integrations of discreet compute and storage systems.

Publish date: 09/30/14
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